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In this talk, Dr. Laschowski will present his research on the development of new mathematical, computational, and machine learning models to reverse-engineer and/or interface with the brain. Some examples include 1) deep learning models to model the visual information processing neural networks in the visual cortex, 2) neural decoding algorithms to predict speech and motor intent for brain-machine interfaces, and 3) reinforcement learning models to reverse-engineer how neural computations in the motor cortex control and optimize human movement. Taken together, his lab specializes in developing in silicobrain models using large-scale neural and behavioural data to tackle grand challenges in computational neuroscience.